[1]ZHANG Qian,LI Shi-yong.A new adaptive RBFNN sliding mode guidance law for intercepting maneuvering targets[J].CAAI Transactions on Intelligent Systems,2009,4(4):339-344.
Copy

A new adaptive RBFNN sliding mode guidance law for intercepting maneuvering targets

CAAI Transactions on Intelligent Systems[ISSN 1673-4785/CN 23-1538/TP] Volume: 4 Number of periods: 2009 4 Page number: 339-344 Column: 学术论文—机器学习 Public date: 2009-08-25
Title:
A new adaptive RBFNN sliding mode guidance law for intercepting maneuvering targets
Author(s):
ZHANG Qian;  LI Shi-yong
School of Astronautics, Harbin Institute of Technology, Harbin 150001, China
Keywords:
adaptive control;  RBFNN;  missile intercept;  sliding model control;  proportional navigation
CLC:
TJ765.3
DOI:
-
Abstract:
A new adaptive radial basis function neural network (RBFNN) sliding mode guidance law was proposed for intercepting maneuvering targets. First of all, we designed a slidingsurface using a quasiparallel approach principle and variable structure control theory. We then used the sliding surface to input variables to the RBF neural network. In this case, the output was missile acceleration. In order to place the missile system on the sliding surface, we employed an adaptive algorithm that adjusts in realtime the connection weights of the RBF neural network. The missile acceleration in a given direction was determined by considering the target’s acceleration as a disturbance, and thus it was not necessary to measure the target’s acceleration directly. Therefore, this guidance law has strong robustness to target maneuvering. The new guidance law, which utilizes lineofsight (LOS) measurement only, is simple to implement. Numerical simulations showed that the proposed guidance law yields better performance than proportional navigation.
References:
［1】CHAW D, CHOI J Y. Adaptive nonlinear guidance law considering control loop dynamics［J］.IEEE Trans on Aerospace and Electronic Systems,2003,39(4):11341143.
?［2］LIANG H W, MA B L. A nonliner adaptive guidance law for missile interceptions［C］//Proceedings of the 27th Chinese Control Conference. Kunming, China, 2008:342344.
［3］CHWA D K, CHOI J Y. Observerbased adaptive guidance law considering target uncertainties and control loop dynamics［J］. IEEE Trans on Control System Technology,2006,14(1):112123.
［4］DI Z, CHUNDI M, WENLI X. Adaptive sliding mode guidance of a homing missile［J］.Journal of Guidance, Control and Dynamics, 1999,22(4):589594.
［5］MOON J K, KKIM K, KIM Y. Design of missile guidance law via variable structure control［J］. Journal of Guidance,Control and Dynamics,2001,24(4):659664.
?［6］金鸿章,罗延明. 抑制滑模抖振的新型饱和函数法研究［J］. 智能系统学报,2007,28(3):288291. JIN Hongzhang, LUO Yanming. Investigation of a novel method of saturation function for chattering reduction of sliding mode control［J］. CAAI Transcations on Intelligent Systems,2007,28(3):288291.
?［7］CHEN F C, KHALILl H K. Adaptive control of nonlinear systems using neural networks［J］. International Journal of Control, 1991:55(6):12991317.
?［8］LIU C C, CHEN F C. Adaptive control of nonlinear continuoustime systems using neural networks general relative degree and MIMO cases［J］. International Journal of Control，1993,58(2):317335
?［9］ABEDI M, BOLANDI H. An adaptive RBF neural guidance law for a surface to air missile considering target maneuver and control loop uncertainties［J］. IEEE International Symposium on Industrial Electronics, 2007,11(5):257262.
［10］张秀玲,张志强. 基于动态RBF神经网络的板形板厚综合控制仿真研究［J］.智能系统学报,2007,2(2)：6568. ZHANG Xiuling ,ZHANG Zhiqiang. Simulation research on strip flatness and thickness control based on dynamic RBF neural networks［J］.CAAI Transaction on Intelligent Systems, 2007,2(2)：6568.
［11］胡云安,晋玉强. BTT导弹神经自适应控制器设计［J］. 航天控制，2003, 21(1):3741.
?HU Yunan, JIN Yuqiang. Design of nonlinear adaptive control system for BTT missile based on RBF neural networks［J］. Aerospace Control，2003,21(1):3741.
［12］GU W J, ZHAO H C, ZHANG R C.A threedimensional proportional guidance law based on RBF neural network［C］//Proceedings of the 7th World Congress on Intelligent Control and Automation. Chongqing, China，2008:69786982.
［13］周 荻.寻地导弹新型导引律［M］.北京：国防工业出版社, 2002:1035.
［14］高为炳. 变结构控制理论基础［M］.北京：中国科学技术出版社, 1990:105125.
［15］刘金琨. 滑模变结构控制MATLAB仿真［M］.北京：清华大学出版社,2005:7595.［16］李士勇. 模糊控制—神经控制和智能控制论［M］.哈尔滨：哈尔滨工业大学出版社,2006:216227.
Similar References:

Memo

-

Last Update: 2009-11-16

Copyright © CAAI Transactions on Intelligent Systems